Real-World Embodied Intelligence Dataset for Robotics Research

2026 data from the AgiBot World project provides a collection for embodied intelligence research. It is built upon massive real-world scenes and spans pivotal research directions in the field. The dataset was created by agibot-world and released in April 2026.

Use Cases

• Train agents for navigation using real-world scene images and depth data.
• Benchmark object manipulation performance with scene segmentation labels.
• Develop multimodal models for instruction-following using paired language commands and sensor observations.
• Simulate robot interaction dynamics from recorded trajectory and action data.

Strengths

• Built upon massive real-world scenes, implying significant scale.
• Systematically spans multiple pivotal research directions in embodied intelligence.
• Released in 2026, representing contemporary data collection.

Limitations

• Specific row counts, column details, and file formats are unknown.
• Geographic and environmental bias may exist depending on scene sources.
• License terms are unspecified, which could restrict usage.

Provenance

Source

agibot-world

Collection Method

Built upon massive real-world scenes, but specific collection method is unknown.

Time Range

2026

Freshness

Last updated in April 2026.

Geography

null